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Data source: US Social Security Administration
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Popularity of the first name Kelsea correlates with...

VariableCorrelationYearsSys. Score
Carjackings in the USr=0.9427yrs392
Jet fuel used in Ukrainer=0.9130yrs381
Petroluem consumption in Uzbekistanr=0.9130yrs381
Petroluem consumption in Azerbaijanr=0.930yrs380
US milk fat used to produce fluid beverage milkr=0.9422yrs379
The divorce rate in Alabamar=0.9123yrs377
The marriage rate in Tennesseer=0.9123yrs376
Physical album shipment volume in the United Statesr=0.9124yrs376
Frozen yogurt consumptionr=0.9332yrs375
The marriage rate in Nevadar=0.923yrs374
NASA's budget appropriationr=0.8847yrs371
Customer satisfaction with Verizonr=0.8828yrs368
The number of postal service clerks in Massachusettsr=0.9320yrs356
The number of postal service clerks in Rhode Islandr=0.9320yrs356
The number of postal service clerks in Marylandr=0.9220yrs354
The wind speed in Los Angelesr=0.922yrs354
Disney movies releasedr=0.8623yrs346
GMO use in corn grown in South Dakotar=0.9323yrs344
Robberies in Marylandr=0.8838yrs344
Ticket sales for Arizona Diamondbacks gamesr=0.8822yrs342
US milk fat used to produce cottage cheeser=0.8722yrs338
Total annual sales of Ford Motors in the United Statesr=0.8623yrs335
The number of carpenters in Wisconsinr=0.9220yrs324
US household spending on beefr=0.8823yrs321
US household spending on floor coveringsr=0.8823yrs321
US household spending on booksr=0.8823yrs321
Gasoline pumped in Germanyr=0.8832yrs318
Annual US household spending on booksr=0.8523yrs316
The marriage rate in Utahr=0.923yrs314
The number of bakers in Indianar=0.9120yrs312
Motor vehicle thefts in Louisianar=0.8738yrs312
Petroluem consumption in Ukrainer=0.8830yrs306
GMO use in cotton in North Carolinar=0.8923yrs306
The number of athletes and sports competitors in New Yorkr=0.9119yrs302
Robberies in Kansasr=0.8738yrs302
The marriage rate in Idahor=0.8823yrs301
The number of cabinetmakers in North Carolinar=0.9120yrs292
The divorce rate in Utahr=0.8723yrs291
Motor vehicle thefts in Indianar=0.8538yrs289
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.8622yrs284
The number of sewing machine operators in Virginiar=0.9120yrs282
The marriage rate in Arizonar=0.8723yrs280
Robberies in Louisianar=0.8538yrs279
Violent crime ratesr=0.8538yrs274
US average milk-fat content of frozen dairy productsr=0.8622yrs274
The number of data entry keyers in Missourir=0.920yrs271
The marriage rate in Ohior=0.8723yrs270
The number of sewing machine operators in New Jerseyr=0.920yrs261
The marriage rate in Virginiar=0.8723yrs260
Customer satisfaction with Walmartr=0.8427yrs256
Customer satisfaction with Frontier Communicationsr=0.8228yrs254
The number of sewing machine operators in North Carolinar=0.920yrs251
The marriage rate in Arkansasr=0.8623yrs248
AIG's stock price (AIG)r=0.8121yrs244
Ticket sales for Baltimore Orioles gamesr=0.7644yrs240
The marriage rate in Colorador=0.8623yrs238
Remaining Forest Cover in the Brazilian Amazonr=0.7536yrs236
The marriage rate in Wyomingr=0.8623yrs228
The marriage rate in Wisconsinr=0.8523yrs216
The number of surveyors in Delawarer=0.920yrs211
The number of customer service representatives in Delawarer=0.920yrs201
Gasoline pumped in Spainr=0.8243yrs196
The number of roofers in Georgiar=0.920yrs191
Kerosene used in Belgiumr=0.8239yrs182
The number of dietetic technicians in Nebraskar=0.920yrs181
Motor vehicle theftsr=0.7838yrs174
The number of ticket agents in New Hampshirer=0.920yrs171
Gasoline pumped in Turkiyer=0.7943yrs171
The number of postal service clerks in New Yorkr=0.920yrs161
Robberies in the USr=0.7538yrs159
Biomass power generated in Jamaicar=0.7642yrs158
The number of brickmasons in Wisconsinr=0.920yrs151
Petroluem consumption in Belarusr=0.8430yrs146
Motor vehicle thefts in Wisconsinr=0.8538yrs144
The number of carpet installers in Wisconsinr=0.8920yrs141
Petroluem consumption in Djiboutir=0.7642yrs136
Robberies in Missourir=0.8538yrs134
The number of aerospace engineers in Arizonar=0.8920yrs130
Gasoline pumped in Lithuaniar=0.8431yrs126
Robberies in Texasr=0.8438yrs122
Gasoline pumped in Mauritaniar=0.7642yrs116
Motor vehicle thefts in Floridar=0.8338yrs111
Petroluem consumption in Germanyr=0.8232yrs104
The divorce rate in Tennesseer=0.8423yrs102
Robberies in Arkansasr=0.8338yrs101
Gasoline pumped in North Macedoniar=0.8330yrs94
The marriage rate in Kentuckyr=0.8423yrs90
Arson in Pennsylvaniar=0.8238yrs90
Hydopower energy generated in Surinamer=0.7242yrs82
Robberies in North Carolinar=0.8238yrs80
The marriage rate in South Carolinar=0.8323yrs78
Gasoline pumped in Eritrear=0.8328yrs72
Robberies in District of Columbiar=0.8238yrs70
The marriage rate in South Dakotar=0.8323yrs68
Gasoline pumped in Finlandr=0.7343yrs62
Robberies in South Carolinar=0.8138yrs58
The marriage rate in Alabamar=0.8223yrs57
Gasoline pumped in Italyr=0.7343yrs52
The divorce rate in Iowar=0.8123yrs47
Petroluem consumption in Armeniar=0.8130yrs41
The divorce rate in North Carolinar=0.8123yrs37


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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)
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